Machining Engineer jobs at The Walt Disney Company - 717 jobs

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation. About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our San Francisco office. What You'll Do Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions #LI-Hybrid Compensation and Benefits Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents. High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco $239,000 - $342,000 USD Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions outline the differences between the Tubi and FOX benefits: For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time. For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters. For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX's short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi. For all full-time, regular employees, Tubi offers a monthly wellness reimbursement. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. #J-18808-Ljbffr

A leading software company is seeking a Principal Machine Learning Engineer to enhance personalized experiences on its eCommerce platform. The role involves collaboration with product managers and engineers to design and deploy machine learning models, with a focus on data-driven solutions. Ideal candidates should have 7+ years of experience in machine learning and statistics. This position allows for remote work within the U.S. or Canada, with a preference for San Francisco. #J-18808-Ljbffr

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Silicon Optimization Engineering Team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities • Develop, implement and verify state-of-the-art Design for Test (DFT) architectures • Work with block designers to integrate DFT implementations • Work with physical design team to setup and implement DFT insertion flow • Develop high coverage and cost effective DFT methodologies • Perform RTL coding and Verification • Participate in Silicon debug and write scripts to effectively handle ATE related data • Communicate and work with team members across multiple disciplines About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. BASIC QUALIFICATIONS - BS degree in EE, CE, or CS - 5+ years of practical DFT experience with large processor and/or SoC designs - Knowledge about industry standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time - Experience with automation script development PREFERRED QUALIFICATIONS - MS degree in EE, CE or CS - Good breadth of knowledge in chip design from micro-architecture through physical design - Good knowledge of design verification (DV) simulation methodologies - Experience with large gate-level simulation setup and debug with SDF - Strong programming and scripting skills in Perl, Python or Tcl - Experience with industry standard DFT/SCAN/ATPG tools - Experience with STA constraints development and analysis for DFT modes - Practical experience with silicon debug Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Head of Engineering page is loaded## Head of Engineeringlocations: CA-Beverly Hills - 9601 Wilshireposted on: Posted Todaytime left to apply: End Date: January 30, 2026 (30+ days left to apply)job requisition id: JR27431WME is seeking a Head of Engineering to support the transformation of our Product & Engineering organization. This team member will be supporting all facets of the WME Group business within North America.You should be a strategic, thoughtful, and savvy engineering professional with a background in leading technology transformations and a passion for the entertainment industries.You must be detail-oriented, hands-on, possess exceptional relationship-building skills, and enjoy working in a highly iterative, agile, and fast-paced environment. Must be flexible and able to move quickly from one subject to another.The role will report to WME's SVP, Product & Engineering based in Los Angeles.**Responsibilities*** Lead the evolution of WME's legacy technology stack into modern, modular, cloud-ready systems.* Serve as both architect and player-coach: designing systems, prototyping solutions, and writing code while guiding teams.* Introduce modern engineering practices such as agile delivery, CI/CD, automated testing, and infrastructure-as-code.* Recruit, mentor, and develop engineers, shaping a collaborative and growth-oriented engineering culture.* Collaborate with Product, Design, and Business leaders to ensure technical decisions align with strategy and operational needs.* Establish enterprise coding standards, architecture patterns, and governance frameworks that support long-term scalability and quality.* Balance modernization with pragmatism-evolving existing systems and processes incrementally to minimize disruption.**Requirements*** 15+ years of software development experience with 8+ years in architecture and solution design.* Deep expertise in .NET (C#, .NET Core/6+, ASP.NET, Web API, Entity Framework) and familiarity with open-source and cloud-native technologies.* Proven success leading large-scale modernization efforts and agile transformations in enterprise environments.* Strong knowledge of cloud platforms (Azure preferred), APIs, microservices, data platforms, and distributed systems.* Demonstrated technical leadership, coalition-building, and communication skills across engineering and business stakeholders.* Experience recruiting, mentoring, and developing high-performing engineering teams.* Background in entertainment, media, or related industries strongly preferred.**Success in 12 Months**Within a year, WME's Head of Engineering will have established the foundation for both a modern technical platform and a high-performing engineering organization. Legacy systems will be evolving into modular, cloud-ready services, and agile and DevOps practices will be embedded in daily work. A strong, collaborative engineering culture will be in place-delivering faster, more reliably, and in closer partnership with Product, Design, and the business.*Per local requirements and in the interest of transparency, the hourly rate shown below reflects the prevalent current hiring range for this position. Hiring pay rates are based on a number of factors, including location and may vary depending on job-related qualifications, knowledge, skills and experience. The company strives to provide locally competitive rewards packages, which include base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings.**Hiring Rate Minimum:*$260,759 annually (minimum will not fall below the applicable state/local minimum salary thresholds)*Hiring Rate Maximum:*$347,679 annually WME is an equal opportunity employer and encourages applications from qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. #J-18808-Ljbffr

Job Responsibilities:The Project Engineer at FLINT supports the Project Manager and Project Superintendent to facilitate a well-managed project. The Project Engineer assists with the overall management and administration of projects including pre-construction services, estimating, subcontractor management, RFIs, submittal process, CORs, and SCOs. Responsibilities include:Drafting and reviewing subcontracts and purchase orders Thoroughly reviewing project documents and familiarizing with project participants Representing the company in project meetings Determining submittal requirements and maintaining the submittal log Assisting in developing and maintaining project schedules Conducting regular site visits to ensure proper construction and adherence to schedule Administering As-Built drawings Handling project correspondence and documentation Obtaining necessary permits and ensuring timely receipt of record documents Assisting in administering the Punch ListPerforming additional duties as assigned Job Requirements, Qualifications, Characteristics:FLINT is seeking an experienced Project Engineer with 1+ years of experience to perform project management functions on small projects (Good grasp of construction terminology and activities Understanding of all trades including MEP and building permit process Ability to estimate CORs, assist in bidding, and assemble project estimates Familiarity with cost control and management processes Basic understanding of prime contract types and delivery methods Proficiency in project documentation, scheduling, safety practices, and technology tools (Fieldview, Viewpoint, Team VPT1, Bluebeam, Pype, GCPay, P6, and Vista) Skills in business development and maintaining customer relations Understanding of fee enhancement, risk mitigation, and client management Ability to mentor team members and promote teamwork and cooperation

About us: FLINT focuses on the design-build and design-assist delivery methods, producing the highest quality of projects and yielding the greatest value to our clients. Our employees and industry partners are truly some of the best people you will ever work with. FLINT is built on values, ethics, quality design, and exceptional construction. Our “master builder” approach to design and construction is the hallmark of our firm. FLINT is honored to be selected as the General Contractor of the Year by the Associated Subcontractors Alliance of Sacramento for five consecutive years. One of the key attributes to the success of FLINT is the employment and retention of highly talented individuals. From this, FLINT has established itself as one of the preeminent Design-Builders in the western region. Our relationships and experiences have shaped our purpose: to create an extraordinary building experience through collaboration with passionate professionals. Who we are seeking: » 3+ years of experience, capable of performing project management functions on small projects ($2-$5M) with minor Project Management oversight. Essential job functions: » Manage overall project administration and ensure compliance with all project requirements. » Engage with architects and owners for business development. » Draft and review subcontracts and purchase orders to ensure the scope of work is accurately defined. » Review project documents and familiarize with project participants. » Determine submittal requirements and maintain the submittal log. » Develop and maintain overall project schedules and short-term schedules. » Conduct regular site visits to ensure proper construction and adherence to schedule. » Obtain necessary permits and ensure timely receipt of recorded documents. » Strong grasp of construction terminology and activities. » Basic understanding of all trades including MEP and building permit process. » Ability to estimate CORs, assist in bidding, and assemble project estimates. » Proficiency in cost control types and delivery methods. » Skills in project documentation, scheduling, safety practices, and technology tools (Fieldview, Viewpoint, Team VPT1, Bluebeam, Pype, GCPay, P6, and Vista). » Business development skills with the ability to maintain customer relations. » Understanding of fee enhancement, risk mitigation, and client management. » Ability to mentor team members and promote teamwork and cooperation.

Senior Staff Machine Learning Engineer/ Data Scientist page is loaded## Senior Staff Machine Learning Engineer/ Data Scientisttime type: Full timeposted on: Posted 24 Days Agojob requisition id: 25WD90525**Job Requisition ID #**25WD90525**GET (Growth Experience Technology) Team @Autodesk**At GET (Growth Experience Technology), we fuel sustainable growth by rethinking how customers discover, buy, and use Autodesk. Our focus is creating a seamless, data-driven experience that feels simple, predictable, and tailored to customer needs-while also making it easier and more efficient for our teams to support them.To get there, we're building smarter digital experiences, strengthening our platforms, and making our sales and marketing efforts much more efficient and connected. While the product experience will play a key role, a real unlock will come from the technologies that power better customer insights, more personalized engagement, and faster sales cycles. **Position Overview**Our GET Machine Learning Engineering org is looking for a seasoned Sr. Staff Data Scientist/Machine Learning Engineer to drive data-informed decisions for Autodesk B2C business. You will play a critical role in helping Autodesk build the eCommerce platforms of the future. Data Scientists/MLE are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our Data Scientists work on projects from ideation to implementation. As a Senior Staff Data Scientist at Autodesk, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our users' platform activities and industry trends to create personalized recommendations that are delivered to our users at the optimal moment. Location: This role can be remote within the U.S. or Canada, though San Francisco is the preferred location**Responsibilities*** Act as a Champion for a data-driven culture, evangelizing best practices and shape the direction of key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights* Expand ML Capabilities - Identify, design, prototype, and build scalable end-to-end ML pipelines that enhance Autodesk's eCommerce personalization at scale* Drive Experimentation at Scale - Develop and implement robust experimentation frameworks to increase velocity while maintaining scientific rigor, enabling rapid iteration and deployment of personalization models* Craft compelling Stories and make logical recommendations based on insights of data and ML models* Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company* Act as a thought partner to senior cross-functional leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals* Mentor and guide junior data scientists/MLE by helping with project planning, technical decisions, and code and document review**Minimum Qualifications*** Bachelor's degree in data science, statistics, computer science, a related technical field* 10 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)* 7 years of experience with design and architecture; and testing/launching software products* 10+ years of hands-on experience with data mining, and information retrieval* Experience in A/B testing and experimental design* Strong understanding of statistics, probability, and financial modeling* Ability to translate data insights into business impact**Preferred Qualifications*** MS or PhD in a quantitative discipline: data science, statistics, computer science, a related technical field* 15+ years of hands-on experience in machine learning design, development and deployment, ideally in eCommerce domain* Hands-on experience with cloud machine learning platform (AWS, Azure) and MLOps best practices**Learn More****About Autodesk**Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.**Benefits**From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting**Salary transparency**Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $166,600 and $269,500. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.**Equal Employment Opportunity**At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.**Diversity & Belonging**We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here:Please search for open jobs and apply internally (not on this external site). #J-18808-Ljbffr

personalise marketing, including social media features. **Job Description**Join the Creative Play Lab and invent ground-breaking new play opportunities and never-seen-before creative experiences for LEGO fans of today and tomorrow! As a senior individual contributor in our Hardware Engineering group, you'll be operating on a global scale in a newly developed team within the Play Engineering organization in Product Innovation and Design at the LEGO Group in Boston!**Core Responsibilities:*** Serve as a senior individual contributor in the RF and magnetics requirements development, design, verification, characterization, tuning, and certification of radio and electromagnetic subsystems in complex mechatronic toys that enable awesome play experiences* Design, simulate (COMSOL, QSPICE), prototype, characterize, and optimize RF and electromagnetic circuits and antennas operating across a varity of frequency ranges, including common ISM bands and uncommon HF bands.* Develop and execute comprehensive RF test plans for design verification using equipment such as network analyzers, spectrum analyzers, protocol analyzers, signal generators, oscilloscopes, anechoic chambers, and protocol-specific testers.* Ensure products meet global radio, EMC, and immunity regulatory requirements (FCC, CE, IC, JRL, CCC, etc) by implementing EMC mitigation techniques, running pre-compliance tests, updating designs as necessary, and supporting final regulatory compliance efforts* Work in tight collaboration with other hardware group functional team members (e.g. Mechanical and Embedded Engineering) from Boston, Denmark, and Singapore to support our capability growth efforts.**Play your part in our team succeeding**The Senior RF Engineer plays an important individual contributor role in the Electronics Engineering function in our Hardware and Embedded Systems Engineering team. This team operates on a global scale within the Play Engineering organization in Product & Marketing Development at the LEGO Group. LEGO Play Engineering is expanding our global footprint to help advance groundbreaking innovations that will redefine the future of play for the builders of tomorrow.You will be a subject matter expert in electromagnetic and wireless technologies, partnering with design engineering, manufacturing engineering, and suppliers to design high performance systems that are manufacturable and reliable. You will be exposed to varied projects with unique technical challenges and entrusted with delivering high quality RF features that our customers expect from a brand like the LEGO Group's. This is a high impact and high visibility role within the organization.The role can be based in Boston, Massachusetts, USA or Billund, Denmark.* A builder with passion for creatively using technology as a vehicle to deliver truly awesome play experiences to children around the world.* Vast experience in RF/electromagnetic systems and circuit design roles that involve creating specifications, designing and characterizing hardware, performing validation, and supporting regulatory certification in high volume, cost-sensitive consumer applications.* Practical experience in implementing hardware for wireless and near-field communication standards commonly used in low-cost consumer electronics* Hands-on proficiency in designing, simulating, characterizing, and tuning antennas in varied topologies and form factors for performance (range, efficiency, Q, etc) and regulatory compliance* Experience using test equipment such as VNAs, spectrum analyzers, signal generators, current problems, LISNs, oscilloscopes, anechoic chambers, and protocol-specific testers* Track record of strong organizational and written/verbal communications skills on global engineering efforts involving both internal and 3rd party partner companies.* Ability to travel as necessary, roughly 15-30 days per year, as part of our global team.**Location**This position can be based at our LEGO office at Boylston St, Back Bay, Boston or at the Global Headquarters in Billund, Denmark. Candidates are eligible to apply for the roles at either location..**Hybrid** **working** **model**Our workplace enables our LEGO colleagues to be and do their best at work. Introducing a flexible way of working is a great example of how we live up to our ambition. This 3 day in the office hybrid model will exemplify our People Promise by embracing the different life situations of our colleagues.**Compensation**The salary for this position based in Boston\* has a range of $113,000 - $169,000 with bonus eligibility, which is based on anticipated responsibilities, market benchmarks, and organizational constraints. The LEGO Group carefully considers a wide range of compensation factors, including but not limited to prior experience, skills, expertise, location, internal equity, and other considerations permitted by law. The comprehensive remuneration details, inclusive of benefits, will be communicated upon finalization of the employment offer.**Family** **Care** **Leave -** We offer enhanced paid leave options for those important times.**Insurances -** All colleagues are covered by our life and disability insurance which provides protection and peace of mind.**Wellness** - We want you to be your best self, so you'll have access to the Headspace App and lots of wellbeing initiatives and programs run by local teams where you are based**Colleague** **Discount** - We know you'll love to build so from day 1 you will qualify for our generous colleague discount.**Bonus** - We do our best work to succeed together. When goals are reached, you'll be rewarded through our global bonus scheme.**Your workplace -** Our offices will be your primary workplace with flexibility to work from home during your working week. Your People Leader will discuss the principles of our hybrid work model, role eligibility and frequency with you.**Build your career brick by brick at** **the** **LEGO** **Group.**#LI-LW2 #LI-Hybrid**Compensation**The salary for this position has a range of $113,015.00 - $169,523.00 based on anticipated responsibilities, market benchmarks, and organizational constraints. The LEGO Group carefully considers a wide range of compensation factors, including but not limited to prior experience, skills, expertise, location, internal equity, and other considerations permitted by law. The comprehensive remuneration details, inclusive of benefits, will be communicated upon finalisation of the employment offer.Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.Here are some of what to expect:**Family** **Care** **Leave -** We offer enhanced paid leave options for those important times.**Insurances -** All colleagues are covered by our life and disability insurance which provides protection and peace of mind.**Wellbeing** - We want you to be your best self, so you'll have access to the Headspace App and lots of wellbeing initiatives and programs run by local teams where you are based**Colleague** **Discount** - We know you'll love to build so from day 1 you will qualify for our generous colleague discount.**Bonus** - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme**Your workplace -** When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong. #J-18808-Ljbffr

A leading audiovisual solutions company is seeking a Senior Design Engineer to lead Broadcast/Media projects, with responsibilities including budgeting, client interaction, and technical oversight. Applicants need 8+ years in media systems design, familiarity with broadcast technologies, and proven problem-solving skills. This role is primarily virtual but requires occasional onsite presence in the San Francisco Bay area. The company offers competitive pay and a flexible working environment, promoting diversity and inclusion. #J-18808-Ljbffr

A leading cryptocurrency platform in San Francisco is seeking a Senior Security Engineer to design and automate detection mechanisms for security incidents. The ideal candidate will have significant experience in threat detection and scripting, with excellent communication skills. This role offers competitive starting pay, a discretionary bonus, comprehensive health plans, and a flexible hybrid work environment. Join a team committed to building diverse and innovative solutions in the digital asset space. #J-18808-Ljbffr

About Medley Learning Medley is a software solution that fosters inclusive, rigorous classrooms. Medley allows a classroom of diverse learners to all access the same grade-level content, with scaffolds designed specifically for multilingual learners and students with disabilities. Teachers control what supports are provided, but Medley does the time‑consuming work of scaffolding to match each student's needs. This is AI done right: not creating lots of new low‑quality content, but instead adding just‑right supports to existing grade‑level content. After a successful spring pilot, Medley is now being used by dozens of schools. We designed Medley to ultimately support the more than 5 million multilingual learners in U.S. schools, and our early pilots are validating that trajectory and are expanding to support students with disabilities, ultimately helping more than 20% of U.S. K-12 students. Learn more at medleylearning.com. We're proud to have the support of Workshop Ventures, a venture studio building and investing in startups in climate and education. Medley is guided by leading advisors including Eleanor Laurans (SimpliSafe co‑founder, former CFO of Boston Public Schools), Dr. Margo Gottlieb (WIDA co‑founder), Dr. Timothy Boals (WIDA co‑founder), and district ML leaders who are actively shaping our pedagogical strategy. The Opportunity Join Medley as Founding Head of Engineering, joining a company with a working product in multiple districts, strong demand, and backing from Workshop Ventures. You'll be hands‑on from the start. You'll take over a team of 3 engineers, then own the technical architecture, improve reliability and cost efficiency, and scale the team to 15‑20 people as Medley grows. You'll partner with the CEO and Head of Product (once hired) on roadmap priorities, but your focus is building the engineering organization and shipping excellent software. What You'll Do Own the Technical Foundation Architect and evolve the browser extension, AI systems, and teacher/admin portal Make infrastructure and system design decisions Drive LLM cost optimization while maintaining quality Build observability to understand usage and maintain reliability at scale Build the Engineering Team Hire, mentor, and retain excellent engineers Establish processes: code review, testing, deployment, and incident response Create a culture of ownership and shipping frequently and reliably Required Qualifications Technical excellence: 6+ years building software, with proven ability to architect scalable systems and ship production‑grade code AI/LLM expertise: Hands‑on experience building LLM‑integrated products, including cost optimization Modern stack proficiency: Strong TypeScript, React, Node.js, and cloud infrastructure (AWS preferred) Engineering leadership: Experience managing engineers, running sprints, and building team processes Startup orientation: Thrives in early‑stage environments where you're hands‑on coding while making strategic decisions Preferred Backgrounds Engineering leaders who've scaled teams through significant growth Technical leads at startups who've owned architecture end‑to‑end Experience with browser extensions or education technology Background optimizing LLM costs and latency at scale Our Tech Stack Full Stack TypeScript: WXT browser extension, React frontend, Node.js backend Data: MongoDB Atlas Infrastructure: AWS (Docker/ECS, S3), Terraform AI: Anthropic, OpenAI, Gemini, ElevenLabs Why Join Medley Founding equity: Significant stake reflecting your role building the company from the ground up. Hard problems: Build AI systems at the intersection of LLM optimization, pedagogy, and scale. Direct impact: Your work helps millions of students access grade‑level content. Strong backing: Workshop Ventures provides funding, operational support, and access to proven entrepreneurs. We are committed to creating a diverse and inclusive work environment. We welcome applicants from all backgrounds and experiences. #J-18808-Ljbffr

A leading education technology startup seeks a Founding Head of Engineering in Boston, MA. You will take charge of a team of engineers, focusing on technical architecture and scaling efforts. This role requires 6+ years in software with AI/LLM experience, strong proficiency in a modern tech stack, and a hands-on startup orientation. You'll play a vital role in building systems that will directly impact millions of students. Founding equity and the opportunity to solve hard problems are key incentives. #J-18808-Ljbffr

A leading streaming service is seeking a Staff Machine Learning Engineer to enhance video personalization. Responsibilities include leading the design of recommendation systems and collaborating with teams to optimize machine learning solutions. Ideal candidates have extensive experience and advanced degrees in relevant fields. This hybrid role is based in San Francisco, offering competitive compensation and a comprehensive benefits package. #J-18808-Ljbffr

A global audio-visual leader in Santa Clara is seeking a Senior Design Engineer to lead projects focused on broadcast systems and advanced production technology. The role requires over 8 years of experience in media systems design and includes responsibilities like client engagement, team leadership, and cloud solutions development. This position offers competitive compensation, a flexible work environment, and opportunities for growth within a diverse company culture. #J-18808-Ljbffr

A global entertainment leader is looking for a Director of Core Player Engineering to oversee the cohesive media player strategy across various devices including mobile and web. The successful candidate will possess at least 12 years of experience in engineering with a strong focus on media playback technologies. This role focuses on innovation and strategic direction to improve user experience and ensure high-quality streaming globally. Competitive salary and benefits are included. #J-18808-Ljbffr

This role can be remote within the U.S. or Canada, though San Francisco is the preferred location About the Team At GET (Growth Experience Technology), we're transforming how customers discover, buy, and use Autodesk. Our mission is to build seamless, data-informed digital experiences that are intuitive, personalized, and scalable-empowering both our customers and internal teams. We're investing in smarter platforms, connected sales and marketing systems, and technologies that unlock deeper customer insights and faster decision-making. The Role We're looking for a Principal (Staff) Machine Learning Engineer to help shape the future of Autodesk's B2C eCommerce platform. This role involves full-lifecycle ownership-from ideation and modeling to deployment and optimization. You'll collaborate across disciplines to develop intelligent systems that personalize user experiences and deliver measurable impact. If you're passionate about solving ambiguous business problems and building scalable ML systems-even if you don't meet every qualification-we encourage you to apply. What You'll Do Guide the design, training, and deployment of ML models for real-time personalization across Autodesk's eCommerce ecosystem. Collaborate with Product Managers and Experience Designers to define what and how personalization should be implemented. Translate business pain points into scalable ML or analytics solutions. Work closely with the MLOps team to productionize models and ensure real-time inference performance. Develop experimentation frameworks and run A/B tests to measure impact (e.g., CTR, bounce rate, add-to-cart rate).Build models that scale across product categories, including third-party integrations for Autodesk's evolving marketplace. Promote a data-informed culture by contributing to initiatives in segmentation, recommendation systems, forecasting, churn prediction, and product analytics. Mentor and support team members, fostering a collaborative and inclusive environment. Qualifications We recognize that talent comes in many forms. If you meet most of the criteria and are excited about the role, we'd love to hear from you. Preferred Experience Background in Data Science, Statistics, Computer Science, or a related field (we also welcome applicants from non-traditional DS backgrounds) 7+ years of hands-on related experience. We value experience with machine learning infrastructure, model deployment, optimization and with software design, architecture, and product development. Knowledge of data mining, information retrieval, and statistical modeling. Exposure to A/B testing and experimental design. Experience applying statistical and probabilistic methods to solve real-world problems; familiarity with financial modeling is a plus. Ability to connect data insights to business outcomes. Experience in eCommerce, marketing technology, go-to-market systems, or other high-scale data environments (e.g., fintech, social platforms). Bonus Experience (Not Required) Advanced degree preferred but not required. Equivalent industry experience is highly valued. Familiarity with cloud ML platforms (AWS, Azure) and MLOps practices. Experience with personalization systems and real-time inference pipelines. Work on high-impact projects that shape the future of digital commerce. Collaborate with a diverse and talented team of engineers, scientists, and product leaders. #J-18808-Ljbffr

A leading designer and manufacturer of custom equipment and turnkey integrated systems for pharmaceutical, biotechnology, and medical product companies. Our Mechanical Engineering team never designs the same machine twice. We thrive on innovation, creativity, and solving complex, real-world problems with no standard solutions. Position Summary As a Mechanical Design Engineer, you will serve as a lead contributor on project teams designing, building, and deploying custom automated equipment. You will collaborate closely with Applications, Controls, and Build teams to deliver unique automation solutions across a wide range of industries and processes. Key Responsibilities Design custom automation equipment and integrated systems for pharmaceutical, biotech, and medical products Develop complete machine layouts through detailed component design Work with vendors to properly size and specify purchased components Generate Bills of Material (BOMs), assembly drawings, and detailed manufacturing drawings Lead and support shop assemblers to ensure designs are built to specification Test and debug equipment on the shop floor and at customer facilities Work overtime as needed to meet customer deadlines Travel locally and overnight to customer sites as required Note: This list of responsibilities is intended as a guideline and may not be all-inclusive. Qualifications Bachelor's degree in mechanical engineering or equivalent experience 5+ years of industrial automation experience 5+ years of machine design experience Proficiency with SolidWorks Experience designing assembly automation equipment Experience designing high-speed, continuous-motion equipment for medical device or pharmaceutical industries Why Join our team? Our team of experts leverages cutting-edge technologies, innovative thinking, and decades of experience to meet the automation needs of customers worldwide. We value creativity, assertiveness, quick thinking, and a passion for technology. If you enjoy solving complex challenges and building one-of-a-kind machines, we invite you to think, solve, and create with us. Benefits 401(k) Health insurance Dental insurance Life insurance Paid time off

About the Company Rain makes the next generation of payments possible across the globe. We're a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain's next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat. What you'll do Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback) Build robust monitoring and alerting for model performance, latency, data quality, and drift Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle Partner with platform teams to meet strict SLAs for availability, latency, and accuracy Collaborate closely with talented engineers, data scientist and compliance teams across Rain Work in a fast-paced environment on a rapidly growing product suite Solve complex problems at the intersection of ML systems, data, and reliability What we're looking for 5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field Proven track record designing and maintaining ML models at scale Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale Nice to have, but not mandatory Domain expertise in banking, payments, or transaction monitoring Experience with graph-based or network-level fraud detection techniques A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science) Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts Things that enable a fulfilling, healthy, and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off. Flexible working ☕ We support a flexible workplace. If you feel comfortable at home, please work from home. If you'd like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment. Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental, and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan. Retirement goals💡Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 We offer every Rainmaker an equity option plan so we can all benefit from our success. Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing. Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.

tl;dr - We're looking for a highly motivated and skilled Staff Machine Learning Engineer to build the future of AI productivity software. You will lead high-impact research and development, drive our core AI technical strategy, pioneer the deployment of robust and scalable state-of-the-art models - see our work on ScribeAgenthere -to millions of users, and mentor our growing team of elite engineers. About this role In this pivotal role, you will be a technical cornerstone for our growing team of elite engineers (currently 5, trained at the world's best ML programs), shaping our AI/ML technical direction and long-term vision. The hiring manager is Mouad Hadji, and you will be responsible for: Acting as the technical leader by driving the design of our ML technical roadmap and aligning it closely with strategic business objectives Architecting and deploying reliable, scalable AI infrastructure in collaboration with Engineering and DevOps teams to support millions of users Defining ML engineering best practices across the organization, including model development, evaluation, deployment, and monitoring standards Mentoring and growing the ML team, providing technical guidance and helping engineers level up their skills Leading cross-functional initiatives with product, engineering, and leadership teams to ensure ML work directly enhances user experiences Spearheading the end-to-end development of our most complex and impactful AI systems, from research to production Representing Scribe's technical brand through conference talks, blog posts, and open-source contributions Check out this post from our amazing ML Engineer, Atishay Jain, about what it's like to build at Scribe. About you You'd be a great fit for this role if you: Have 5+ years of industry experience working deep in the weeds on hard ML problems, with at least 2+ years in a technical leadership role Have hands-on experience architecting and deploying LLMs in production at scale, with deep understanding of infrastructure challenges Demonstrate a track record of shipping impactful ML products that drive significant business value Demonstrate technical leadership experience, including defining technical roadmaps, leading cross-team initiatives, and mentoring engineers Have proven expertise in building ML platforms and infrastructure that enable rapid experimentation and reliable production deployment Excel at technical communication, able to explain complex ML concepts to both technical and non-technical stakeholders Have deep expertise with the full ML stack from distributed training (e.g., PyTorch, JAX, Accelerate, FSDP) to production serving and monitoring Bring strong intuitions about ML systems design, including trade-offs between model complexity, latency, cost, and performance Have experience with advanced techniques including multi-modal models, alignment (RLHF, constitutional AI), and efficient inference Think strategically about AI's role in product development and can translate business needs into technical solutions About Scribe Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to ensure work gets done right, and see how to do it even better. Our Workflow AI platform automatically captures and optimizes workflows so teams work smarter, faster, and more consistently. We're growing fast - since our founding in 2019, we've grown to over 5 million users across 600,000 businesses. Based in San Francisco, we've been named a LinkedIn Top Startup, are valued at over $1 billion, and are backed by leading investors. Join us in our mission to uplevel how people do work. How we work We are builders aspiring to master our crafts. We care deeply about our teammates and want to win, together. We embrace the following values: Accelerate impact Raise the bar Make our users heroes Clear is kind Rapid learning machine One team, one dream Full-Time US Employee Benefits Include Some of the nicest and smartest teammates you'll ever work with Competitive salaries Comprehensive healthcare benefits Exciting and motivating equity Flexible PTO 401k Parental Leave Commuter Benefits (SF office employees) WFH Stipend Compensation $200,000 - $250,000 base + Equity + Benefits. We consider several factors when determining compensation, including location, experience, and other job-related factors. Location Hybrid position (need to commute to downtown San Francisco 3+ days a week) unless this is someone with more experience (5+ years) or immensely talented. At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. Scribe is proud to be an Equal Opportunity and Affirmative Action Employer.